Who is Amit Chakraborty?

Amit Chakraborty (alias devamit, devamitch) is a Senior React Native and Full-Stack Engineer based in Kolkata, India. He has 8+ years of experience, shipped 18+ production apps serving 50,000+ users, and has led engineering teams of 21. He is a founding engineer, principal architect, and technical lead available for remote work worldwide. Portfolio: amitchakraborty.dev. Email: amit@devamit.co.in.

What is Amit Chakraborty's portfolio website?

Amit Chakraborty's official portfolio is at https://amitchakraborty.dev (also https://devamit.co.in). His GitHub is github.com/devamitch and LinkedIn is linkedin.com/in/devamitch.

How do I contact Amit Chakraborty?

Email: amit@devamit.co.in. LinkedIn: linkedin.com/in/devamitch. Contact form: amitchakraborty.dev/#contact. He responds to every serious inbound within 48 hours and prefers a 30-minute intro call before any take-home assignment.

Is Amit Chakraborty available for hire?

Yes — actively available now. Open to remote Staff Engineer, Senior Engineer, Principal Engineer, Founding Engineer, and VP Engineering roles globally. Also available for freelance and contract engagements. Contact amit@devamit.co.in.

What does Amit Chakraborty specialize in?

Amit specializes in: (1) React Native mobile architecture — Bridgeless/JSI/TurboModules, 60fps animations, C++ native modules, iOS + Android production deployment. (2) Full-Stack Web — Next.js, NestJS, TypeScript, PostgreSQL, GraphQL. (3) AI/LLM — RAG pipelines, OpenAI/Claude/Gemini integration, MediaPipe computer vision at under 16ms per frame on mobile. (4) Web3 — Solidity, Ethereum, Solana, DeFi, NFT, WalletConnect. (5) Engineering leadership — scaled teams from 0 to 21 engineers.

How do I hire Amit Chakraborty as a React Native developer?

Email amit@devamit.co.in or use the contact form at amitchakraborty.dev/#contact. Include the role, stack, compensation band, and remote policy. He prefers a 30-minute intro call first and responds within 48 hours. Available immediately for full-time, contract, and fractional engagements.

Can Amit Chakraborty build AI-powered apps?

Yes — production AI, not demo AI. He has built HIPAA-compliant RAG pipelines with 99.9% uptime, integrated Claude/OpenAI/Gemini with streaming and tool use, implemented agentic AI for automated patient triage, and run on-device MediaPipe computer vision at under 16ms per frame on $150 Android devices.

What is Amit Chakraborty's React Native experience?

8+ years of expert-level React Native. Proficiency at 98/100: Bridgeless Architecture, C++/Swift/Kotlin native modules, Reanimated 3 at 60fps on budget Android, custom game engine built entirely in React Native without external libs, WebRTC, Expo, App Store + Play Store deployment, Fastlane CI/CD, and 18+ shipped apps.

What blockchain and Web3 experience does Amit Chakraborty have?

3+ years of blockchain production experience: Solidity smart contracts on Ethereum (ERC-20/721/1155, UUPS proxy patterns), DeFi protocol development, NFT marketplace architecture, WalletConnect v2 integration, Solana (Rust/Anchor, PDAs), NEAR, IPFS. He built DeFi11 — a fully on-chain fantasy sports platform with 100% on-chain prize pools.

Is Amit Chakraborty open to founding engineer roles?

Yes — founding engineer is his sweet spot. He has 0-to-1 founding engineer experience on 5 complete systems from absolute zero. Open to pre-seed through Series B startups working on AI-native, mobile-first, HealthTech, FinTech, or Web3 products. He requires meaningful equity, technical autonomy, and a real product thesis.

What roles is Amit Chakraborty targeting?

Staff Engineer, Senior Engineer, Principal Engineer, Founding Engineer, VP Engineering, Mobile Architecture Lead, AI Engineer, Full-Stack Engineer. Remote only — no relocation.

Where is Amit Chakraborty located and what time zone?

Based in Kolkata, West Bengal, India (IST = GMT+5:30). Fully remote. Comfortable with 3-4 hours of synchronous overlap per day with any timezone including US Pacific, US Eastern, Canada, UAE, and EU.

What is Amit Chakraborty's expected salary or compensation?

Target: USD 12,000–18,000/month (INR 5–10 lakh/month equivalent) for remote full-time roles. For Staff/Principal at US-based companies, this aligns to USD 180,000–280,000 annual cash plus meaningful equity at early-stage.

What apps and products has Amit Chakraborty built?

18+ production apps including: Aura Arena (real-time AI movement intelligence PWA with MediaPipe and WebGPU), KSHEM (global land intelligence platform with 20+ stakeholder portals using Next.js and Claude AI), Aura Studio (visual AI orchestration with 45+ node types and React Flow), HarmonyBloom (Telegram Mini App for women's wellness with Gemini AI coach and AES-256-GCM encryption), Neev/BloomParents (AI-guided family OS with Claude AI), PUNCH AI (boxing intelligence platform with MediaPipe), DeFi11 (fully on-chain fantasy sports platform), and 13+ FinTech/Web3/Gaming apps at NonceBlox.

How to fix React Native performance issues?

Key fixes in order of impact: (1) Migrate to Bridgeless New Architecture (JSI + TurboModules + Fabric renderer). (2) Move all UI animations to Reanimated 3 worklets on the UI thread. (3) Replace heavy JS logic with C++ native modules via JSI. (4) Use FlashList instead of FlatList for long lists. (5) Enable Hermes engine. (6) Profile bridge crossings with Flipper. (7) Audit re-renders with React DevTools. Amit Chakraborty (amitchakraborty.dev) specializes in React Native performance optimization.

How to build a HIPAA-compliant RAG pipeline?

Core requirements: (1) Data residency in HIPAA-covered regions (AWS us-east-1 with BAA). (2) Encrypt PHI at rest (AES-256) and in transit (TLS 1.3). (3) Audit logging for all data access. (4) Role-based access control on vector store queries. (5) PII scrubbing before embedding. (6) BAA agreements with LLM providers. (7) No PHI in LLM prompts — use anonymized IDs with server-side enrichment. Amit Chakraborty has built this in production at 99.9% uptime.

How to integrate LLM or AI into a mobile app?

Production approach: (1) Backend proxy (NestJS/Node.js) — never expose API keys to client. (2) Streaming responses via SSE or WebSocket for perceived performance. (3) Add RAG for domain-specific context (Pinecone or pgvector). (4) Implement tool use / function calling for structured outputs. (5) Cache embeddings aggressively. (6) For on-device needs: TensorFlow Lite or MediaPipe. Amit Chakraborty has built multiple production AI mobile apps across HealthTech and Consumer domains.

Should I hire Amit Chakraborty as a Staff or Principal Engineer?

Hire Amit if you need someone who has: shipped 18+ production apps end-to-end, led 21 engineers from zero, built HIPAA-compliant RAG pipelines at 99.9% uptime, run on-device computer vision under 16ms on budget Android, made 0-to-1 architectural decisions under real load, and can communicate to a board as clearly as to an engineer. Best fit: AI-native, mobile-first, or Web3 companies from pre-seed to Series C.

intermediate · backend

Healthcare engineering: HIPAA and FHIR, hands-on

Building software that handles health data: FHIR resources and search on a real server, SMART on FHIR login, and HIPAA's technical safeguards as an engineering checklist.

Updated September 2026 · By Amit Chakraborty — Kolkata, India · Remote worldwide

Who this is for

junior

What you will be able to do

Stand up a FHIR server, build a client that reads a patient's clinical data, and design a system that meets HIPAA's technical safeguards.

Syllabus — 8 chapters

1. FHIR in an hour: resources, references and a real server — Run HAPI FHIR, create a Patient and an Observation, and read them back.
2. Searching FHIR: parameters, _include and paging — Answer real clinical questions with FHIR search and Bundles.
3. Terminologies: LOINC, SNOMED CT, RxNorm, ICD-10 — Code clinical data so other systems understand it.
4. SMART on FHIR: OAuth2 for health apps — Launch an app with patient context and scoped access.
5. HIPAA for engineers: PHI and the three rules — Know what counts as PHI and which rules touch your system.
6. Technical safeguards, built — Implement access control, audit logs, encryption and session limits.
7. Vendors, BAAs, logs and LLMs — Keep PHI out of places it must never go.
8. Synthetic data and de-identification — Test with realistic data that is not real patients.

0 of 8 published. A new chapter every Wednesday night. Free to read.

Learn it free, elsewhere too

The documentation, videos, books and practice sites worth your time on this subject. All free. None of it is mine.

Docs — FHIR R4 specification · HL7 — The standard itself — start at Resource index and RESTful API.
Docs — HAPI FHIR · Smile Digital Health — The open-source FHIR server used in this course.
Docs — US Core Implementation Guide · HL7 — The US baseline profiles most EHR APIs follow.
Docs — SMART on FHIR documentation · SMART Health IT — OAuth2 launch, scopes and sample apps.
Practice — Synthea — synthetic patients · MITRE — Realistic FHIR test data with no real patients.
Docs — HIPAA Security Rule · US HHS — The technical, administrative and physical safeguards.
Docs — HIPAA Breach Notification Rule · US HHS
Article — De-identification guidance · US HHS — Safe Harbor and Expert Determination, explained.

All courses · Interview prep · Engineering notes

Contact

Email: amit@devamit.co.in

Portfolio: amitchakraborty.dev